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- All Subjects: Autism Spectrum Disorder
- Creators: Adams, James
- Creators: Ofori, Edward
Methods: The study consisted of 79 participants with ASD (59 male, 20 female; ages 18-70, mean=40.27 [±17] years) and 77 NT participants (46 male, 31 female; ages 18-71, mean=40.33 [±16] years). Hippocampal and fornix FW and FA values were generated from diffusion tensor images obtained along 32 directions using a b-value of 2500 s/mm2 in the axial direction with 3 mm slice resolution. These images were then processed for eddy current, distortion, b-vec and motion correction, skull stripped, and non-linear registered using Advanced Normalization Tools (ANTs) to the subject’s T1 image. FW and FA maps were calculated using custom written MatLab code and standard atlases containing the hippocampus and fornix were applied.
Results: The right hippocampus showed a significant diagnosis by age interaction (p=0.018), such that the increase in FW with age was greater for adults with ASD. The left hippocampus diagnosis by age interaction approached significance (p=0.055). Similarly, the right fornix showed a significant diagnosis by age interaction (p=0.044), with increases in FW with age as greater for adults with ASD, and the left fornix diagnosis by age interaction approached significance (p=0.053). FA values showed no significant diagnosis by age interactions.
Conclusion: In the hippocampus and fornix, the association between increasing FW and increasing age was more pronounced for adults with ASD than matched NT adults. This may mean that as adults with ASD age, these regions will degenerate faster than their NT peers, which could have implications for accelerated age-related memory decline. However, a notable limitation is the cross-sectional nature of the study. Our ongoing longitudinal study will inform a more definitive picture of brain aging with ASD.
The purpose of this project was to develop a new questionnaire that was comprehensive and included symptoms of autism and related disorders. 28 parents of children with autism and two adults with autism were interviewed and asked to fill out the questionnaire and rate their child’s symptoms based on the available scale. From their responses, we were able to edit and improve the questionnaire to make it clearer and more concise. We added new symptoms and improved the descriptions of the symptoms listed. The new version of the questionnaire will be edited after interviewing the same 30 people again. After, it will need to be validated by a large study of around 300 people. The questionnaire will be used in an app format and help parents rate their child’s symptoms during clinical studies of medical treatments.
Introduction: Autism Spectrum Disorder (ASD) is a lifelong neurodevelopmental disorder that increased in prevalence in the last few decades, most notably among older adults. The gap in knowledge of aging processes, among individuals with ASD, and the increasing prevalence of Parkinsonism diagnosis in this population, revealed a need for research efforts. Nevertheless, differences in the group and age-related differences in cortical thickness in brain regions associated with motor control remain relatively unexplored. Objective: In this study, we analyzed cross-sectional data to investigate group differences and age-related differences in cortical thickness of the left hemisphere (lh) and right hemisphere (rh) of the precentral gyrus and paracentral lobule, in adults with ASD vs. NT adults. Knowing that individuals with ASD present greater group and age-related motor impairments than NT individuals, we tested the following hypothesis: adults with ASD will demonstrate reduced cortical thickness and greater relationships between increasing age and decreasing cortical thickness in the precentral gyrus and paracentral lobule than the NT participants. Methods: Group and age-related differences in cortical thickness were analyzed in our cohort of 191 participants with (N=105; ages 18-71) and without ASD (N=86 ages 18-70). T1-weighted MRI images were collected from each participant and were analyzed using FreeSurfer to obtain cortical thickness measurements from the motor regions of interest. Using SPSS (IBM SPSS Statistics for macOs, Version 28.0.1.1) univariate general linear models were used to test the between-subject effects of group, age, and group by age interaction, with sex as a covariate. Results: A statistically significant effect of the diagnosis group on cortical thickness was only observed in the lh precentral gyrus, with the ASD group showing a thinner cortex than the NT group. A statistically significant group-by-age interaction was present in the cortical thickness of the lh precentral gyrus, the rh precentral gyrus, and the lh paracentral lobule. For each interaction, the relationship between age and cortical thickness had a steeper negative slope in the ASD group compared to the NT group. Discussion: Consistent with our hypothesis, findings indicate ASD affects cortical thickness and may be linked to greater age-related reduced cortical thickness, of the studied motor areas, in adults with ASD compared to NT adults. Future research is warranted to investigate the relationship between cortical thickness in motor regions and the severity of motor impairments in the ASD population. Further longitudinal investigations of the age-related changes (trajectories) in cortical thickness, specific to motor regions, in individuals with ASD, are also necessary.